Xponential Fitness (XPOF) Operating Leases (2022 - 2026)
Xponential Fitness (XPOF) posted Operating Leases of $10.86 million for Q2 2026, down 49.1% from $21.34 million a year earlier and down 17.1% from the prior quarter.
Xponential Fitness (XPOF) Operating Leases (2022 - 2026) Analysis & Trends
At the end of FY2025, Xponential Fitness' Operating Leases came in at $14.24 million, down 40.3% from FY2024.
- Annual Operating Leases shows a three-year compound annual growth rate of -22.5% (FY2022 to FY2025).
- In prior years, Xponential Fitness' Operating Leases was $23.86 million in FY2024 (-66.9%), $71.98 million in FY2023 (+135.3%) and $30.58 million in FY2022.
- The Q2 2026 figure stands as the lowest quarterly Operating Leases in data going back to Q1 2022.
- On a year-over-year basis, Operating Leases has declined in each of the last nine quarters, with an average decline of 51.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q2 2023, with growth of 390.0%; the weakest was Q4 2024, with a decline of 66.9%.
- According to Business Quant data, Operating Leases for the three prior quarters was $13.1 million (Q1 2026), $14.24 million (Q4 2025) and $16.02 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Las Vegas Sands | 24.82 Bn | 11.24 Bn | 1.48 Bn |
| 2 | DraftKings | 17.42 Bn | 13.08 Bn | 551.45 Mn |
| 3 | Flutter Entertainment | 12.92 Bn | 6.67 Bn | 1.71 Bn |
| 4 | Madison Square Garden Sports | 9.97 Bn | 9.56 Bn | 119.21 Mn |
| 5 | Life Time Group Holdings | 8.95 Bn | 8.18 Bn | 412.26 Mn |
| 6 | Wynn Resorts | 8.09 Bn | 1.64 Bn | 758.95 Mn |
| 7 | MGM Resorts International | 7.93 Bn | -255.39 Mn | 1.98 Bn |
| 8 | Caesars Entertainment | 6.03 Bn | 2.66 Bn | 1.50 Bn |
| 9 | Super Group (SGHC) | 5.86 Bn | 3.85 Bn | - |
| 10 | Xponential Fitness | 185.24 Mn | -3.21 Mn | 56.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.86 Mn |
| Mar 31, 2026 | 13.10 Mn |
| Dec 31, 2025 | 14.24 Mn |
| Sep 30, 2025 | 16.02 Mn |
| Jun 30, 2025 | 21.34 Mn |
| Mar 31, 2025 | 22.58 Mn |
| Dec 31, 2024 | 23.86 Mn |
| Sep 30, 2024 | 33.50 Mn |
| Jun 30, 2024 | 38.05 Mn |
| Mar 31, 2024 | 54.26 Mn |
| Dec 31, 2023 | 71.98 Mn |
| Sep 30, 2023 | 74.68 Mn |
| Jun 30, 2023 | 77.60 Mn |
| Mar 31, 2023 | 39.89 Mn |
| Dec 31, 2022 | 30.58 Mn |
| Sep 30, 2022 | 24.47 Mn |
| Jun 30, 2022 | 15.84 Mn |
| Mar 31, 2022 | 18.47 Mn |
Xponential Fitness Operating Leases API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-leases&ticker=XPOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "XPOF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-leases&ticker=XPOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();